Framing Analysis

Framing analysis studies how texts make an issue intelligible by emphasizing some aspects of it and guiding the reader toward certain responses.

Truth and falsity still matter. The method focuses on how a text defines the problem and guides interpretation.

Where does framing analysis fit? It is common in media studies, political communication, and international relations research. If the question asks how an issue is presented in texts, framing analysis is often the right starting point. For a deeper focus on language and power, see Discourse Analysis.


What Is Framing Analysis?

Framing analysis examines how communication sources define issues. The foundational definition comes from Entman (1993). To frame is to “select some aspects of a perceived reality and make them more salient in a communicating text, in such a way as to promote a particular problem definition, causal interpretation, moral evaluation, and/or treatment recommendation.”

This definition identifies four functions.

Function What it does Example
Problem definition Identifies what the issue is “Immigration is a security threat” vs. “Immigration is an economic opportunity”
Causal interpretation Attributes cause or responsibility “Government policy caused the crisis” vs. “Global forces caused the crisis”
Moral evaluation Makes a normative judgment “This policy is unjust” vs. “This policy is necessary”
Treatment recommendation Suggests what should be done “Borders should be tightened” vs. “Integration programs should be expanded”

Some frames perform only one or two of these functions in a given text. Entman’s framework still gives you a practical way to say what the frame is doing.

Framing analysis goes beyond counting topics. It asks how the issue is constructed and what interpretive lens is offered to the audience.


Key Concepts

Frame. A central organizing idea that gives meaning to an issue by emphasizing some aspects of reality, connecting them, and downplaying others (Gamson & Modigliani, 1989).

Framing devices. The textual elements that signal a frame, including metaphors, catchphrases, exemplars, visual images, appeals to principle, and similar cues (Gamson & Modigliani, 1989). These are what you look for when coding.

Generic vs. issue-specific frames. Generic frames (e.g., conflict, human interest, economic consequences, responsibility, morality) appear across many issues and can be compared across contexts (Semetko & Valkenburg, 2000). Issue-specific frames are built for a particular topic and come from your data or prior literature.

Episodic vs. thematic framing. Iyengar (1991) distinguished between episodic frames (focusing on specific events or individual cases) and thematic frames (placing issues in a broader context with systemic causes). The distinction is especially useful for analyzing news coverage, where episodic framing tends to individualize responsibility while thematic framing points to structural explanations.

Frame building vs. frame setting. Frame building refers to how frames emerge in media or political discourse. In plain terms, it asks how some frames come to dominate. Frame setting refers to how media frames influence audience perceptions (Scheufele, 1999 and de Vreese, 2012). Most thesis-level framing analyses focus on identifying frames in texts (frame building), since measuring audience effects (frame setting) requires experimental or survey data.

Salience. A key mechanism in framing. It makes certain pieces of information more noticeable and more memorable (Entman, 1993). A frame can work without fabricating information. It works by emphasizing some elements and downplaying others.

Frames differ from topics. A topic is what a text is about (e.g., climate change). A frame is how the text presents that topic (e.g., climate change as an economic burden, a moral imperative, a scientific controversy, or a security threat). A single topic can be framed in multiple, competing ways. Students often mix these up.


When to Use It

Framing analysis fits when the research question asks how an issue is presented in communication. It works well for questions like these.

  • Media coverage analysis. How does the press frame a political crisis, policy debate, or social issue? Do frames differ across outlets, countries, or time periods?
  • Political communication. How do political actors frame issues to build support? How do competing frames interact in public debate?
  • Policy discourse. How are policy problems defined and solutions justified in official documents?
  • Comparative studies. How does framing of the same issue differ across countries, media systems, languages, or time periods?

Use another method when the project is really about audience effects, deep language structure, or word-frequency measurement.

Audience effects require experimental or survey methods. Questions about power and identity may fit discourse analysis better. Word-frequency questions sit closer to content analysis or text-as-data.

Ask yourself

  • Does your research question ask how something is presented, going past the question of what is covered?
  • Can you identify a specific set of texts (news articles, speeches, policy documents) to analyze?
  • Are you interested in comparing how different sources, countries, or time periods present the same issue?
  • Is the framing of this issue contested? Do different actors present it in meaningfully different ways?

If you answered yes to most of these, framing analysis is likely a good fit. If your interest leans more toward the deep structure of language and power, look at discourse analysis.

Framing analysis can also be applied to visual media and social media content, though the coding rules change. The discussion below focuses on textual framing in news, policy documents, and similar written material. If you are working with images or short-form platforms, discuss the adaptation with your supervisor before you build the codebook.


How to Apply It

Step 1: Define Your Approach

The first decision is whether the frames come from prior literature, from your data, or from both.

Deductive (theory-driven). You start with a set of frames drawn from existing literature and look for them in your data. This is common when using generic frames. Semetko and Valkenburg (2000) identified five generic news frames (conflict, human interest, economic consequences, morality, and responsibility) that have been widely applied across contexts. A deductive approach gives BA students a more manageable design and makes the coding easier to replicate.

Inductive (data-driven). You develop frames from the data itself through repeated reading and coding. This is necessary when no established frame typology fits your issue, or when you want to capture issue-specific frames. It is more demanding. It also requires careful documentation of how frames were identified. Matthes and Kohring (2008) offer a rigorous cluster-analytic approach to inductively identifying frames.

Combined approach. A hybrid strategy starts with frames from the literature and leaves room for new frames from the data. This gives the design theoretical grounding while keeping it open to what the material actually contains.

BA vs. MA expectations. BA students are generally well served by a deductive approach using established generic frames, or a small set of issue-specific frames drawn from prior research. MA students are expected to engage more critically with the choice of approach. They may need to develop their own frame typology, justify it methodologically, and weigh its limitations honestly.

Step 2: Build Your Corpus

Your corpus is the collection of texts you will analyze. Corpus construction is itself a methodological decision that must be justified. Start with these questions.

  • Source selection. Which outlets, speakers, or document types? Why these and not others? Justify your selection in terms of your research question, for example by choosing outlets that represent different editorial positions or official documents from specific institutions.
  • Time period. What period does your analysis cover, and why? Are you analyzing a specific event, a policy cycle, or long-term trends?
  • Sampling. Will you analyze all relevant texts in your time period, or a sample? If sampling, what is your sampling strategy?
  • Size. Your corpus must be large enough to support the claims you make. There is no universal minimum. A BA thesis might analyze 50-100 articles. An MA thesis might analyze 100-200 or more, depending on the method. See the Building a Corpus page for detailed guidance on corpus size, including how to balance analytical depth against volume for different methods.

For detailed guidance on source selection, search strategies, and data management, see Building a Corpus.

Step 3: Develop a Codebook

A codebook defines the frame categories and the evidence required to apply them. A strong codebook gives another researcher enough detail to replicate the analysis.

Your codebook should include:

  1. Frame definitions. A clear, concise definition of each frame you are coding for. Each definition should be specific enough that someone else could apply it consistently.
  2. Indicators. The concrete textual markers (keywords, phrases, arguments, metaphors, narrative structures) that signal each frame. List multiple indicators per frame.
  3. Coding rules. Explicit instructions for how to handle ambiguous cases, including these decisions.
    • What counts as the unit of analysis (full article, paragraph, sentence)?
    • Can multiple frames be assigned to a single text? If so, do you code a primary/dominant frame, or all frames present?
    • What is the threshold for assigning a frame? Must it be the central organizing idea, or can it be secondary?
  4. Examples. At least one clear example of each frame from your data or from prior literature.

Pilot your codebook. Before coding your full corpus, test the codebook on a small sample (10-15 texts). A pilot identifies vague definitions, overlapping categories, and unused frames. Revise the codebook based on this pilot, and document what you changed and why. That record supports the method section.

Step 4: Code Your Material

With a tested codebook in hand, code your full corpus.

Coding procedure.

  1. Read each text carefully and in full, headline and body together (see the section on full article vs. headline framing below).
  2. Identify which frame(s) are present using the indicators in your codebook.
  3. Record your coding decisions in a structured format (spreadsheet, coding software, or a consistent table).
  4. Keep notes on difficult or ambiguous cases. These notes are valuable for your methodology section and for discussing limitations.

Handling multi-frame texts. Many texts contain more than one frame. You need a clear decision rule, established in advance.

  • Dominant frame approach. Assign each text the single frame that is most prominent overall. This simplifies analysis but loses information about secondary frames.
  • All-frames approach. Code every frame present in each text. This captures more complexity but requires you to define how you determine frame presence (e.g., a frame must appear in at least two paragraphs, or be supported by at least two distinct indicators).
  • Hierarchical approach. Code a primary frame and one or more secondary frames. This keeps the analysis manageable while preserving the secondary frames.

Whichever approach you choose, state it explicitly in your methodology chapter and apply it consistently.

Intercoder reliability. If you are the sole coder, as most thesis students are, you cannot calculate formal intercoder reliability. Acknowledge this as a limitation. You can partially address it. Ask your supervisor or a peer to code a small subsample, document your coding decisions thoroughly, and discuss borderline cases transparently in your analysis.

Step 5: Analyze and Interpret

Once coding is complete, turn your descriptive coding into analysis.

  • Frame distributions. What are the most and least common frames in your corpus? Present this quantitatively, with tables or charts showing frequencies and percentages.
  • Patterns across sources. Do different outlets, speakers, or document types favor different frames? This is where comparative analysis becomes powerful.
  • Patterns over time. Do frames shift during the period you are studying? Are there critical moments where framing changes?
  • Qualitative analysis of frames. For each frame, present representative examples from your data. Show how the frame works in the text. Explain the language and arguments that carry it, and discuss any recurring narrative structure. This qualitative dimension is essential. Numbers alone do not tell the full story.
  • Absent frames. What perspectives are missing from the discourse? What is not said can be just as significant as what is. If a frame that you expected to find based on the literature is absent or marginal, that is a finding worth discussing.

Exercise: Draft your codebook

Develop a preliminary codebook for your framing analysis. For each frame, write:

  1. A name and one-sentence definition
  2. At least three textual indicators (keywords, phrases, argument types, or narrative patterns)
  3. One example (real or hypothetical) showing how the frame would appear in a text from your corpus

Then write a short paragraph (150-200 words) explaining your coding rules. What is your unit of analysis? How will you handle texts that contain multiple frames? What is the threshold for assigning a frame?

Bring this codebook to your next supervision meeting.


Full Article vs. Headline Framing

Students frequently ask whether they should analyze full articles or only headlines. It is a methodological choice, and it changes what you can claim.

Headlines and full articles often frame issues differently. Headlines are crafted to attract attention. Editors often write them. They may emphasize conflict or controversy in ways that the article body does not sustain. A headline might frame an event as a crisis while the article gives it a more measured treatment. The reverse also happens. A neutral headline can sit above an article with strong framing throughout.

When to analyze headlines only.

  • Your research question is specifically about how issues are presented at first glance, meaning what audiences encounter when scanning a newspaper or news feed
  • You have a very large corpus and need to manage scope (headline analysis allows a bigger sample)
  • You are studying the “attention-grabbing” dimension of framing, meaning how editors choose to package stories

When to analyze full articles.

  • You want to understand the complete framing of an issue, including the causal attributions and recommended solutions that usually appear in the body text
  • Your corpus is manageable in size (under ~150 articles for a BA thesis, under ~200-250 for an MA thesis)
  • You are interested in framing depth that the first signal of a headline cannot capture

When to analyze both.

  • You want to compare headline framing with article-body framing as part of your research design (this can be a research question in itself)
  • You suspect that editorial packaging diverges from journalistic treatment of the issue

Practical recommendation. For most thesis-level projects, analyze full articles. Headlines alone rarely capture the full framing structure, particularly causal interpretations and treatment recommendations, which tend to appear in the body text. If your corpus is too large to analyze in full, it is usually better to narrow it with fewer articles or a tighter time period than to analyze only headlines from a larger sample.

If you do analyze headlines, be transparent about what this choice captures and what it misses.


Structuring Your Thesis

A framing analysis thesis follows a standard structure, but each chapter has specific content requirements. Here is how the method usually maps onto thesis chapters.

Introduction

  • Present the issue and explain why its framing matters
  • State your research question clearly
  • Preview your approach and the structure of the thesis

Literature Review

  • Review the scholarly debate on your topic, covering the substantive issue itself as well as framing theory
  • Situate your study within the framing literature. What do we already know about how this issue is framed? What gaps remain?
  • If using specific frames from prior research, introduce them here and explain their origins

Analytical Framework / Methodology

This is the chapter where you lay out the architecture of your analysis.

  • Approach. Explain whether you are using a deductive, inductive, or combined approach, and justify the choice
  • Corpus. Describe your source selection and time period. Then explain your sampling strategy, corpus size, and the reason for each decision
  • Codebook. Present your frames with definitions and indicators. Add examples and decision rules. If deductive, explain where the frames come from. If inductive, describe the iterative process through which frames were developed
  • Coding procedure. Explain your unit of analysis, how you handle multi-frame texts, and any reliability measures
  • Limitations. Discuss methodological limitations honestly (single coder, language constraints, corpus boundaries)

Findings

Structure your findings around the patterns in your data. Common organizational strategies include the following.

  • By frame. Dedicate a section to each frame. Cover its frequency, where it appears, how it manifests in the text (with examples), and how it relates to the other frames. This works well when you have a manageable number of distinct frames.
  • By source or outlet. Compare framing across different media, speakers, or document types. This works well for comparative research designs.
  • By time period. Trace how framing evolves across key moments or phases. This works well for studies of framing during crises, campaigns, or policy processes.

Use tables or charts for distributions, then use excerpts to show how the frames operate in text.

Conclusion

  • Answer your research question directly
  • Summarize the main framing patterns you found
  • Discuss what these patterns mean. What do they tell us about how the issue is constructed in public discourse?
  • Connect your findings back to the literature. Do your results confirm, extend, or challenge prior research?
  • Acknowledge limitations and suggest directions for future research

Ask yourself

  • Does your analytical framework chapter clearly explain every methodological decision, so that another researcher could replicate your analysis?
  • Do your findings chapters present both the quantitative distribution of frames and qualitative examples of how each frame works?
  • In your conclusion, do you go past summarizing results and explain what the framing patterns mean for your broader research question?

Example from the Literature

Semetko and Valkenburg (2000) is a standard model for deductive framing analysis. They analyzed 2,601 newspaper stories and 1,522 television news stories covering European politics, specifically the Amsterdam meetings of European heads of state in 1997. Using a deductive approach, they tested for the presence of five generic news frames (conflict, human interest, economic consequences, morality, and responsibility). Each frame was operationalized through a set of yes/no indicator questions (e.g., “Does the story reflect disagreement between parties/individuals/groups/countries?” for the conflict frame), which they applied to every item in the corpus.

The study found that responsibility and conflict were the most common frames in both press and television coverage, while morality was the least common. It also found significant differences across media types. Serious newspapers used the responsibility frame more frequently, while sensationalist outlets relied more heavily on the human interest frame. Two features of the study are worth emulating. It uses a justified deductive frame set across a large corpus that permits comparison across outlet types. It also operationalizes each frame through specific indicators.


Common Pitfalls

These problems come up often in student framing analyses. Avoiding them strengthens your thesis.

1. Confusing frames with topics. This is the single most common mistake. A frame is how the text presents and constructs the issue, while the topic is what the text is about. “Climate change” is a topic. “Climate change as economic burden” or “climate change as existential threat” are frames. If your “frames” could serve as subject headings in a library catalog, they are probably topics instead.

2. Defining frames too vaguely. If a frame definition is so broad that almost any text could be coded under it, it is not analytically useful. Each frame should have a clear definition and specific indicators. Test it this way. Could someone unfamiliar with your research apply your codebook and reach similar coding decisions?

3. Inconsistent coding. This means applying different standards at different points in your analysis. For example, you might code more generously at the start and more strictly at the end, or shift your interpretation of a frame mid-corpus. Pilot your codebook, code in a consistent order (or randomize), and revisit early coding decisions after you finish.

4. Ignoring absent frames. If a frame that the literature suggests should be present is absent or marginal in your data, that is a significant finding. Report what you found. Then discuss what you did not find and consider why.

5. Presenting only numbers without qualitative evidence. A table showing that “the conflict frame appeared in 43% of articles” is only a starting point. You must show how the conflict frame actually operates in your texts. That means analyzing the language and arguments it relies on, as well as any recurring narrative structure. The qualitative examples demonstrate that your coding was valid and that the frames are real patterns, not artifacts of your categories.

6. Failing to justify corpus boundaries. Why these sources and not others? Why this time period? If you cannot explain your selection decisions, reviewers will question whether different choices would produce different results. Every boundary should be justified in your methodology chapter.

7. Treating frames as mutually exclusive when they are not. Texts frequently contain multiple frames. If your coding scheme forces a single-frame assignment but your data is more complex, you will lose important information. Decide in advance how to handle multi-frame texts and document your decision.


Key Readings

These are the essential references for a framing analysis thesis. You can cite selectively, but you should know the core works.

Foundational works

Methodology and application

Theory and review

How to use these readings. At minimum, read Entman (1993) and one of the methodology pieces (Semetko & Valkenburg for deductive work, Matthes & Kohring for inductive work). Then look for framing studies on your specific topic. They will show you how the method has been applied in your area and may provide the frames you build on.


Framing analysis borders two other pages.

  • Discourse Analysis. Choose this when the project is less about coding frames and more about how language builds identities, authority, or power relations.

  • Building a Corpus. Use this before fixing the codebook if the source base is still unsettled. Frame counts mean little if the corpus boundaries are vague.